nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A dynamical neural network approach for solving stochastic two-player zero-sum games
|
Wu, Dawen |
|
|
152 |
C |
p. 140-149 |
artikel |
2 |
A manifold learning approach for gesture recognition from micro-Doppler radar measurements
|
Mason, E.S. |
|
|
152 |
C |
p. 353-369 |
artikel |
3 |
A multivariate adaptive gradient algorithm with reduced tuning efforts
|
Saab Jr, Samer |
|
|
152 |
C |
p. 499-509 |
artikel |
4 |
A neuroscience-inspired spiking neural network for EEG-based auditory spatial attention detection
|
Faghihi, Faramarz |
|
|
152 |
C |
p. 555-565 |
artikel |
5 |
A new deep learning framework based on blood pressure range constraint for continuous cuffless BP estimation
|
Chen, Yongyi |
|
|
152 |
C |
p. 181-190 |
artikel |
6 |
Artificial neural networks with conformable transfer function for improving the performance in thermal and environmental processes
|
Solís-Pérez, J.E. |
|
|
152 |
C |
p. 44-56 |
artikel |
7 |
Attributed graph clustering with multi-task embedding learning
|
Zhang, Xiaotong |
|
|
152 |
C |
p. 224-233 |
artikel |
8 |
Branching time active inference: Empirical study and complexity class analysis
|
Champion, Théophile |
|
|
152 |
C |
p. 450-466 |
artikel |
9 |
Context-aware dynamic neural computational models for accurate Poly(A) signal prediction
|
Guo, Yanbu |
|
|
152 |
C |
p. 287-299 |
artikel |
10 |
Context meta-reinforcement learning via neuromodulation
|
Ben-Iwhiwhu, Eseoghene |
|
|
152 |
C |
p. 70-79 |
artikel |
11 |
Corrigendum to “Event-centric Multi-modal Fusion Method for Dense Video Captioning” [Neural Networks 146 (2022) 120–129]
|
Chang, Zhi |
|
|
152 |
C |
p. 527 |
artikel |
12 |
Current Events
|
|
|
|
152 |
C |
p. I |
artikel |
13 |
Deep learning, reinforcement learning, and world models
|
Matsuo, Yutaka |
|
|
152 |
C |
p. 267-275 |
artikel |
14 |
Deep networks may capture biological behavior for shallow, but not deep, empirical characterizations
|
Neri, Peter |
|
|
152 |
C |
p. 244-266 |
artikel |
15 |
Deep unsupervised feature selection by discarding nuisance and correlated features
|
Shaham, Uri |
|
|
152 |
C |
p. 34-43 |
artikel |
16 |
Discovering diverse solutions in deep reinforcement learning by maximizing state–action-based mutual information
|
Osa, Takayuki |
|
|
152 |
C |
p. 90-104 |
artikel |
17 |
Distantly Supervised Relation Extraction via Recursive Hierarchy-Interactive Attention and Entity-Order Perception
|
Han, Ridong |
|
|
152 |
C |
p. 191-200 |
artikel |
18 |
Dynamic image clustering from projected coordinates of deep similarity learning
|
Chang, Jui-Hung |
|
|
152 |
C |
p. 1-16 |
artikel |
19 |
DynamicNet: A time-variant ODE network for multi-step wind speed prediction
|
Ye, Rui |
|
|
152 |
C |
p. 118-139 |
artikel |
20 |
Editorial Board
|
|
|
|
152 |
C |
p. ii |
artikel |
21 |
Embedding graphs on Grassmann manifold
|
Zhou, Bingxin |
|
|
152 |
C |
p. 322-331 |
artikel |
22 |
Event-triggered integral reinforcement learning for nonzero-sum games with asymmetric input saturation
|
Xue, Shan |
|
|
152 |
C |
p. 212-223 |
artikel |
23 |
ExSpliNet: An interpretable and expressive spline-based neural network
|
Fakhoury, Daniele |
|
|
152 |
C |
p. 332-346 |
artikel |
24 |
Generative convolution layer for image generation
|
Park, Seung |
|
|
152 |
C |
p. 370-379 |
artikel |
25 |
GIU-GANs: Global Information Utilization for Generative Adversarial Networks
|
Tian, Yongqi |
|
|
152 |
C |
p. 487-498 |
artikel |
26 |
Human-guided auto-labeling for network traffic data: The GELM approach
|
Kim, Meejoung |
|
|
152 |
C |
p. 510-526 |
artikel |
27 |
INN/ENNS/JNNS - Membership Applic. Form
|
|
|
|
152 |
C |
p. II |
artikel |
28 |
Knowledge-guided multi-task attention network for survival risk prediction using multi-center computed tomography images
|
Zhang, Liwen |
|
|
152 |
C |
p. 394-406 |
artikel |
29 |
LAP: Latency-aware automated pruning with dynamic-based filter selection
|
Chen, Zailong |
|
|
152 |
C |
p. 407-418 |
artikel |
30 |
Multi-level landmark-guided deep network for face super-resolution
|
Zhuang, Cheng |
|
|
152 |
C |
p. 276-286 |
artikel |
31 |
Multistability analysis of delayed recurrent neural networks with a class of piecewise nonlinear activation functions
|
Liu, Yang |
|
|
152 |
C |
p. 80-89 |
artikel |
32 |
Multivariate time series forecasting method based on nonlinear spiking neural P systems and non-subsampled shearlet transform
|
Long, Lifan |
|
|
152 |
C |
p. 300-310 |
artikel |
33 |
Non-linear perceptual multi-scale network for single image super-resolution
|
Yang, Aiping |
|
|
152 |
C |
p. 201-211 |
artikel |
34 |
Optimistic reinforcement learning by forward Kullback–Leibler divergence optimization
|
Kobayashi, Taisuke |
|
|
152 |
C |
p. 169-180 |
artikel |
35 |
Organization of a Latent Space structure in VAE/GAN trained by navigation data
|
Kojima, Hiroki |
|
|
152 |
C |
p. 234-243 |
artikel |
36 |
Quantum pulse coupled neural network
|
Wang, Zhaobin |
|
|
152 |
C |
p. 105-117 |
artikel |
37 |
Replacing pooling functions in Convolutional Neural Networks by linear combinations of increasing functions
|
Rodriguez-Martinez, Iosu |
|
|
152 |
C |
p. 380-393 |
artikel |
38 |
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning
|
Heiberg, Amalie |
|
|
152 |
C |
p. 17-33 |
artikel |
39 |
Robust kernel principal component analysis with optimal mean
|
Li, Pei |
|
|
152 |
C |
p. 347-352 |
artikel |
40 |
Sampled-data synchronization of complex network based on periodic self-triggered intermittent control and its application to image encryption
|
Zhou, Hui |
|
|
152 |
C |
p. 419-433 |
artikel |
41 |
Sediment Prediction in the Great Barrier Reef using Vision Transformer with finite element analysis
|
Jahanbakht, Mohammad |
|
|
152 |
C |
p. 311-321 |
artikel |
42 |
Semantic consistency learning on manifold for source data-free unsupervised domain adaptation
|
Tang, Song |
|
|
152 |
C |
p. 467-478 |
artikel |
43 |
Set-membership filtering for complex networks with constraint communication channels
|
Liu, Chang |
|
|
152 |
C |
p. 479-486 |
artikel |
44 |
Social impact and governance of AI and neurotechnologies
|
Doya, Kenji |
|
|
152 |
C |
p. 542-554 |
artikel |
45 |
Sparse factorization of square matrices with application to neural attention modeling
|
Khalitov, Ruslan |
|
|
152 |
C |
p. 160-168 |
artikel |
46 |
Spatiotemporal CNN with Pyramid Bottleneck Blocks: Application to eye blinking detection
|
Bekhouche, S.E. |
|
|
152 |
C |
p. 150-159 |
artikel |
47 |
Tri-view two-photon microscopic image registration and deblurring with convolutional neural networks
|
Lee, Sehyung |
|
|
152 |
C |
p. 57-69 |
artikel |
48 |
Visual context learning based on textual knowledge for image–text retrieval
|
Qin, Yuzhuo |
|
|
152 |
C |
p. 434-449 |
artikel |
49 |
Weighted Incremental–Decremental Support Vector Machines for concept drift with shifting window
|
Gâlmeanu, Honorius |
|
|
152 |
C |
p. 528-541 |
artikel |